Safety-modelling on neural networks
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Abstract Safety modelling of fault-tolerant hardware is as important as reliability modelling for some applications. Neural networks are employed in this paper to realize the safety model of a Duplex system under design. The failure rate which is adequate for the desired safety of the hardware, is acquired from the neural weights at convergence.
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